首页|Researcher at University of Louisiana Publishes New Data on Robotics (Sharp Curv e Trajectory Tracking of A Universal Omniwheeled Mobile Robot Using A Sliding M ode Controller)
Researcher at University of Louisiana Publishes New Data on Robotics (Sharp Curv e Trajectory Tracking of A Universal Omniwheeled Mobile Robot Using A Sliding M ode Controller)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotics are disc ussed in a new report. According to news originating from the University of Loui siana by NewsRx editors, the research stated, “In our previous work [1] and [2], two dynamic models of a Universal Omni-Wheeled Mobile Robot (UOWMR), and trajectory trackin g controllers (three linear and one non-linear) were developed and presented.” Our news correspondents obtained a quote from the research from University of Lo uisiana: “The purpose of that work was to identify suitable combinations of dyna mic models and trajectory-tracking controllers, choosing the combination with th e highest tracking accuracy and the lowest solver execution time. The ultimate p urpose is utilizing these physics-based tools in a Reinforcement Learning (RL) a gent developed for path planning and navigation in an unstructured environment. Three trajectories were investigated including a smooth path, a sharp curved pat h, and a smooth path with disturbance forces. The Sliding Mode Controller (SMC) following a trajectory with sharp (right-angled) curves was not investigated in that work.”
University of LouisianaEmerging Techno logiesMachine LearningRobotRobotics
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